amaneureka

oh! what's your name?

Yes! https://github.com/amaneureka/AtomOS/blob/master/src/Kernel/...

Indeed it is utilizing MMU for memory protection. But no that is not the final objective of project.

I strongly recommend you to build the kernel once and check output assembly file. which should answer lot of your doubts like extra overhead of object loading. It's not exactly same how you are interpreting. I tried very hard in order to optimize the output code.

I didn't mean that way. But I have updated the comment

For couple of years I contributed to Cosmos and fixed some bugs in MOSA. But my design idea was much different from them. So I decided to start with a new project. And seems like it worked!

It does not. new operator internally calls Heap.kmalloc https://github.com/amaneureka/AtomOS/blob/master/src/Kernel/...

To free any object instance I have to call Heap.Free

Sure, Thanks :D

Because It is not possible to run C# executable without .NET framework. I had to work on a compiler first. Source: https://github.com/amaneureka/AtomOS/tree/master/src/Compile... Which works on the top of Microsoft's IL Builder. Then it add compiler stubs to support .NET code and convert code into native x86 assembly. The assembly file is then passed through NAsm and proper linking chain to produce final Kernel ELF binary. Build.sh produces an ISO image which can be used to boot OS in either virtual machine or on real hardware.

I explained it here: https://www.reddit.com/r/programming/comments/5xlmc6/a_new_h...

I am really sorry about lack of details on page. I am working on it and soon add more detailed documentation.

Meanwhile You can try building it and play around with source.

https://github.com/amaneureka/AtomOS/wiki/Build-Environment

Yeah. And I managed to take it to the next level with dynamic executable loading and SVGA drivers.

A fun project T-Rex Chrome game player using machine learning. - MultiLayer Preceptron Neural Network (Tanh Layer) - Unsupervised Learning repo: https://github.com/amaneureka/T-Rex/ demo: http://amaneureka.github.io/T-Rex/